| Parallel Problem Solving from Nature - Ppsn III: International Conference on Evolutionary Computation. the Third Conference on Parallel Problem Solvin 1994 Edition Contributor(s): Davidor, Yuval (Editor), Schwefel, Hans-Paul (Editor), Männer, Reinhard (Editor) |
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ISBN: 3540584846 ISBN-13: 9783540584841 Publisher: Springer OUR PRICE: $104.49 Product Type: Paperback Published: September 1994 Annotation: This volume comprises the 61 revised refereed papers accepted for presentation at the ICEC/PPSN III conferences held jointly in Jerusalem, Israel in October 1994. With the appearance of more and more powerful computers, there is increased interest in algorithms relying upon analogies to natural processes. This book presents a wealth of new theoretical and experimental results on artificial problem solving by applying evolutionary computation metaphors, including evolution strategies, evolutionary programming, genetic algorithms, genetic programming, and classifier systems. Topics such as simulated annealing, immune networks, neural networks, fuzzy systems, and complex, real-world optimization problems are also treated. |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Systems Architecture - General - Computers | Programming - Algorithms |
| Dewey: 006.3 |
| LCCN: 94036102 |
| Series: Lecture Notes in Computer Science |
| Physical Information: 1.34" H x 6.14" W x 9.21" (2.03 lbs) 647 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This volume comprises the 61 revised refereed papers accepted for presentation at the ICEC/PPSN III conferences held jointly in Jerusalem, Israel in October 1994. With the appearance of more and more powerful computers, there is increased interest in algorithms relying upon analogies to natural processes. This book presents a wealth of new theoretical and experimental results on artificial problem solving by applying evolutionary computation metaphors, including evolution strategies, evolutionary programming, genetic algorithms, genetic programming, and classifier systems. Topics such as simulated annealing, immune networks, neural networks, fuzzy systems, and complex, real-world optimization problems are also treated. |